3 papers
cs.CR2026
MarkNull: Model-Agnostic Watermark Removal in AI-Generated Images via On-Manifold Latent Manipulation
Jie Cao, Qi Li, Zelin Zhang +4
Digital watermarking has emerged as a critical technique for provenance and copyright attribution in AI-generated imagery, yet its robustness against realistic, model-agnostic remo…
cs.CR2026
Secure and Robust Watermarking for AI-generated Images: A Comprehensive Survey
Jie Cao, Qi Li, Zelin Zhang +2
The rapid progress of Generative Artificial Intelligence (GenAI) has enabled the effortless synthesis of high-quality visual content, while simultaneously raising pressing concerns…
cs.CR2026
MarkSweep: A No-box Removal Attack on AI-Generated Image Watermarking via Noise Intensification and Frequency-aware Denoising
Jie Cao, Zelin Zhang, Qi Li +1
AI watermarking embeds invisible signals within images to provide provenance information and identify content as AI-generated. In this paper, we introduce MarkSweep, a novel waterm…